Telefonaktiebolaget Lm Ericsson (Publ)

Juhani Kauppi

Torbjörn Wigren

Sholeh Yasini

Peiliang Chang

Richard Wirén

A method of monitoring a kinematic state of an unmanned aerial vehicle (UAV) is provided. The method comprises obtaining one or more predicted pathlosses between a UAV and one or more base stations at a first time instance, wherein the predicted pathlosses are determined using an estimate of a kinematic state of the UAV at the first time instance and one or more pathloss models developed using a machine-learning process. The method further comprises obtaining one or more measurements of a pathloss between each of the one or more base stations and the UAV at the first time instance, and re-determining the estimate of the kinematic state of the UAV at the first time instance based on the one or more predicted pathlosses and the one or more measurements of the pathloss.

Methods and apparatus for monitoring a kinematic state of an unmanned aerial vehicle

A method performed by a node in a wireless communication network. The method comprises obtaining measurement data for one or more measurements performed, by a wireless device in the wireless communication network, on at least one first radio signal transmitted by one or more base stations in the wireless communication network. The method further comprises determining whether or not the wireless device is airborne by inputting the measurement data to a model developed using a machine learning algorithm.

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ESPOO, Finland

Juhani Kauppi